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Regina H Reynolds
Molecular biologist turned bioinformatician, with experience translating large-scale omics data into actionable insights for drug discovery. I’ve led cross-functional analyses across transcriptomics, genomics, and functional screens, collaborating closely across teams to build reproducible pipelines that support impactful R&D decisions. I’m driven by a commitment to scientific rigour, integrity, and transparency — and by a broader desire to make a meaningful contribution to the world through thoughtful, data-driven science.
Work experience
Lead Bioinformatician
CoSyne Therapeutics
London, UK
Present - 2022
- Provide scientific and strategic leadership as co-lead of a 5-person computational biology team, setting research priorities in collaboration with team members, experimental and AI teams, and senior leadership.
- Drive company-wide ’omics initiatives spanning whole-genome sequencing, transcriptomics and CRISPRi screens to support target discovery in glioblastoma multiforme.
- Establish scalable, robust, and reproducible computational workflows through adoption of tools such as Nextflow and Seqera Cloud for workflow orchestration, Docker for containerisation, R targets for reproducible exploratory data analysis, and Cruft templates for project scaffolding.
- Contribute to shaping company culture through active involvement in recruitment and development of CoSyne’s personal development framework.
Research Fellow
University College London
London, UK
2022 - 2021
- Lead analyst involved in processing and analysing transcriptomic data generated with the aim of identifying molecular signatures of Parkinson’s disease progression. Work performed using R, Nextflow and Docker.
- Co-lead of Code and Pipeline Alignment Working Group in the Aligning Sciences Across Parkinson’s initiative. This group aimed to maximise the value of data generated from finite post-mortem brain tissues through code alignment, which would enable eventual meta-analysis.
- Published 1 co-first author research article.
Research Assistant
University of Copenhagen
Copenhagen, Denmark
2016 - 2016
- Led project exploring the interactions between miR-34a, Sirt1 and p53 in a Huntington’s disease mouse model, which culminated in a first author publication.
Education
PhD, Bioinformatics
University College London
London, UK
2021 - 2016
- Thesis: Exploring the importance of cell-type-specific gene expression regulation and splicing in Parkinson’s disease.
- Integrated GWAS summary statistics with bulk/single-cell transcriptomic, eQTL, and chromatin accessibility data to identify cell-type-specific regulatory mechanisms in Parkinson’s disease. Methods used included partitioned heritability, COLOC, and MAGMA.
- Applied transcriptomic methods, including cell-type deconvolution, differential splicing analysis, and RNA-binding protein motif analysis, to investigate splicing alterations and their relevance to Lewy body diseases.
- Published 3 first/co-first author research articles and 1 first author review. Successfully secured £10,000 from Signe og Peter Gregersens Mindefond to undertake transcriptional profiling of Parkinson’s disease brain tissue.
MSc, Molecular Biomedicine
University of Copenhagen
Copenhagen, Denmark
2016 - 2014
- Thesis: Changes in the miR-34a-SIRT1 axis in Huntington’s disease
- Grade: A (92.5%)
BSc, Molecular Biomedicine
University of Copenhagen
Copenhagen, Denmark
2013 - 2010
- Thesis: Pro-apoptotic factors in Huntington’s disease: a study in the R6/2 transgenic mouse model
- Grade: A (96.7%)
Teaching experience
Subsidiary PhD Supervisor
University College London
London, UK
2025 - 2021
- Secondary supervisor to Dr. Aaron Wagen. Provided support around transcriptomic analyses, bioinformatics workflows and statistical genetics.
R fundamentals with Clinician Coders
University College London
London, UK
2022 - 2019
- Developed materials and led workshops teaching basic R and tidy data principles to clinical academics.
Omics Techniques
King’s College London
London, UK
2019 - 2017
- Lectured graduate level students on the principles of genome-wide association studies and led a workshop on how/why to use the Genotype-Tissue Expression portal.
Voluntary Work
Mentor
London, UK
2022 - 2017
- Mentored 4 A-level students looking to work in the field of biomedical research.
Key publications
A full list of publications is available online at https://rhreynolds.github.io/cv
Local genetic correlations exist among neurodegenerative and neuropsychiatric diseases
NPJ Parkinson’s disease
N/A
2023
- Reynolds, RH, Wagen, AZ, Lona-Durazo, F, Scholz, SW, Shoai, M, Hardy, J, Gagliano Taliun, SA, Ryten, M
- Role: Co-first author, lead analyst and corresponding author.
- Analysis of local genetic correlations between neurodegenerative and neuropsychiatric disorders, with the aim of identifying genomic regions and genes that may drive pleiotropy.
Cross-platform transcriptional profiling identifies common and distinct molecular pathologies in Lewy body disorders
Acta Neuropathologica
N/A
2021
- Feleke, R, Reynolds, RH, Smith, A, Tilley, B, Gagliano Taliun, SA, Hardy, J, Matthews, PM, Gentleman, S, Owen , D, Johnson, MR, Srivastava, P, Ryten, M
- Role: Co-first author and analyst.
- Transcriptomic analysis of cell-type-specific changes in the Lewy body diseases.
Informing disease modelling with brain-relevant functional genomic annotations
Brain
N/A
2019
- Reynolds, RH, Hardy, J, Ryten, M, Gagliano Taliun, SA
- Role: First author.
- Review of conceptual advances in the generation of brain-relevant functional genomic annotations and among tools that allow integration of these annotations with genome-wide association summary statistics.
Moving beyond neurons: the Role of cell type-specific gene regulation in Parkinson’s disease heritability
NPJ Parkinson’s disease
N/A
2019
- Reynolds, RH, Botía, JA, Nalls, MA, International Parkinson’s Disease Genomic Consortium (IPDGC), System Genomics of Parkinson’s Disease (SGPD), Hardy, J, Gagliano Taliun, SA, Ryten, M
- Role: First author and lead analyst.
- Analysis of Parkinson’s disease common variation, with the aim of identifying cell types and pathways of importance to disease risk.
Conferences
AD/PD, Alzheimer’s & Parkinson’s Diseases Conference
N/A
Hybrid event
2022
- Talk: Identifying genetic correlations among neurodegenerative and neuropsychiatric diseases
Genomics of Brain Disorders
N/A
Virtual event
2021
- Talk: Dysregulation of splicing in human brain from individuals with Lewy body disease informs disease mechanisms
International Parkinson’s Disease Genomics Consortium
N/A
London, UK
2019
- Talk: Pairing bulk and single-nuclear RNA-seq to identify dementia-related pathways in PD
AD/PD, Alzheimer’s & Parkinson’s Diseases Conference
N/A
Lisbon, Portugal
2019
- Talk: Mapping Parkinson’s disease heritability to specific brain cell types
- Received mention in a blog post on Alzforum.
International Parkinson’s Disease Genomics Consortium
N/A
Reykjavik, Iceland
2018
- Talk: Moving beyond neurons: exploring the importance of cell type-specific gene expression in Parkinson’s disease